ISE 590 Seminar Series: Predicting Human Discretion to Adjust Algorithmic Prescription: A Large-Scale Field Experiment in Warehouse Operations
|Time:||10 a.m. - 10:50 a.m.|
|Sponsor:||ISE Graduate Programs|
Conventional optimization algorithms that prescribe order packing instructions (which items to pack in which sequence in which box or bin) focus on bin volume utilization (efficiency) yet tend to overlook human behavioral deviations. We observed the order fulfillment operations at Cainiao, the logistics division of Alibaba which is the largest e-commerce platform in China. We found that workers deviated from the algorithmic prescriptions for more than 5.8% of packages, typically by switching to a larger bin than recommended. This switch increases packing time as well as material and environmental costs.
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